Fwd: Re: Re: Fwd: Regarding help for multiple regression

[bansalsuman198918]

Respected sir 

My dependent variable is Roe

Independent variables are promoter ownerships , FII ownership , banks& financial institutions ownership , public ownership , Mutual funds ownership 

And control variables are 

Growth of sales 

Age of companies

Size of companies 

Debt equity ratio of companies

Sir kindly help me which tool should I apply.

Regards

Suman

Sent from Samsung Mobile

-------- Original message --------

From: Neeraj Kaushik

Date:05/01/2015 14:47 (GMT+05:30)

To: dataanalysistraining

Subject: Re: Re: Fwd: Regarding help for multiple regression

Dear Suman

Plz aware what exactly u wish t do here?

What are ur DV & IDVs?

Best wishes

Neeraj

On Mon, Jan 5, 2015 at 1:19 PM, bansalsuman198918 <bansalsu...@gmail.com> wrote:

Good after noon Everybody

Kindly help me with regards to my data I am attaching please help me which tool should I apply Multiple Regression or ANCOVA  . Kindly help me or also help me how to apply this particular tool in SPSS

Regards

Suman

Department of Commerce

MD university 

ROHTAK

Sent from Samsung Mobile

-------- Original message --------

From: suman bansal

Date:02/01/2015 19:41 (GMT+05:30)

To: dataanalys...@googlegroups.com

Subject: Re: Fwd: Regarding help for multiple regression

Thank you  ma"am for replying 

Here i am sending my data . kindly suggest me how to apply multiple regression. 

Regards

Suman

On Fri, Jan 2, 2015 at 5:09 AM, Seema Malik <seema.m...@gmail.com> wrote:

First of all please tell about your data. If data is panel and only one dependent variable is there with many independent variables , multiple regression will be suitable.

On 2 Jan 2015 17:59, "bansalsuman198918" <bansalsu...@gmail.com> wrote:

Sent from Samsung Mobile

-------- Original message --------

From: bansalsuman198918

Date:02/01/2015 17:55 (GMT+05:30)

To: dataanalys...@googlegroups.com

Subject: Regarding help for multiple regression

Respected sir

Good evening

Sir I am working on a research paper and my variables of interest are as follows

Dependent variable = RoE

Independent variables = promoter's ownership , FII ownership,  banking and financial services institution ownership, public ownership , mutual fund ownership

Along with these variables there are certain control variables also such as growth rate of sales

Age of firm

Debt: equity ratio

Size of firm measured in total assets of companies 

Sir I want to know which test I have to apply  mutilate regression or ANCOVA and how it is applied. 

Regards 

Suman

Department of commerce

MR University 

Rohtak

ent from Samsung Mobile 

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[Seema Malik]

Your dep and independent variables are metric in nature. So go for multiple regression.

[Neeraj Kaushik]

Dear Suman

Seema is correct in her advice. You shd use Multiple Regression.

I wish to clear there the concept of ANOCA (Analysis of Co-variance).

See when we've metric DV and one or more metric IDV then we shd use Regression (Simple or Multiple)

Ex: We wish to check whether Sales depends on Advt and No. of salesmen

Here Sales is metric DV

Advt is mtric IDV No of salesmen is metric IDV

So we'll use Multiple Regression here

----------------------------------------

However if there is one metric DV and one or more categorical IDVs then we use n-way ANOVA (n= No. of categorical IDV )

Ex: We wish to check whether Sales is related with Experience

Here Sales is metric DV

Experience is categorical IDV which >2 categories (Low exp, medium exp and Long exp)

so we shd 1- way ANOVA as there is 1 IDV

If we wish to check whether Sales is related with Experience and Gender

Here Sales is metric DV

Experience is categorical IDV

Gender is categorical IDV

So we shd use 2-way ANOVA here as there are 2 non-metric (categorical) IDV

----------------------------------------

Now if there are one metric IDV and rest all IDVs are categorical then we use a version of ANOVA which is called as n-way ANCOVA (n=No of categorical IDVs)

This metric IDV is called as Co-variate and is treated like a Control variable.

Ex: Whether Sales is related with Experience and Advt

Here Sales is metric DV

Experience is categorical IDV which >2 categories (Low exp, medium exp and Long exp)

Advt is metric IDV

Now there are 2 ways to analyze it:

If emphasis is on Advt and we wish to see this relation for the avrious exp categories then we shd use Regression with dummy vars

However if the emphasis is on the Exp and we wish to take Advt as control avr then we shd use 1-way ANOVA

where Advt is be called as Co-variate

Plz feel free to ask for ur doubts now.

Best wishes

Neeraj

[Neeraj Kaushik]

One addition here in 2 way ANOVA example:

If we wish to check the effect of gender on Sales then we'll use 2 indep sample t-test

If we wish to check the effect of exp on Sales then we'll use 1 way ANOVA

However if we wish to check the combined effect of Gender & Exp on Sales then we will use 2 way ANOVA

Here Null hypothesis will be that there are no significant differences among the sales of 6 groups:

Men with low exp

Women with low exp

Men with medium exp

Women with medium exp

Men with long exp

Women with long exp

Plz see we're looking at combined effect of Gender & Exp on Sales here, hence we'll use 2 way ANOVA

For the question of How to work on 2 way ANOVA, plz search for the post "Beyond ANOVA" on group

Best wishes

Neeraj